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fea simulation  (Abaqus Inc)

 
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    Abaqus Inc fea simulation
    Fea Simulation, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fea+simulation/abaqus+fe+software/us12604398-216-0-23
    Average 86 stars, based on 1 article reviews
    fea simulation - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    other:

    Article Title: Optimization of the Vulcanization Process of Thick Rubber Based on a New Vulcanization Kinetic Model
    Article Snippet: This paper proposes a new vulcanization kinetic model for determining the degree of cure during the stages of induction, curing, and reversion, and applies this model to optimize the thick rubber vulcanization process.. A comprehensive experimental program, including vulcanization characteristic tests, thermophysical properties tests, and temperature field measurements, was first conducted.. Test results were then used to examine the suitability of the existing and the newly proposed vulcanization kinetic models.

    Software:

    Article Title: A reproducible workflow for 3D finite-element modeling of strike-slip duplex deformation in Abaqus
    Article Snippet: .. Models implemented in commercial FE software such as Abaqus [ ] are often described only briefly, and key implementation steps—such as volume construction, assignment of fault interfaces, and application of oblique convergence—are seldom presented in a level of detail sufficient for reuse by other researchers. ..

    Article Title: Self-healable, recyclable, and reconfigurable wearable electronics device
    Article Snippet: .. FEA Simulation To investigate the mechanical performance of the multifunctional wearable electronics, finite element analysis (FEA) was conducted using a commercial software package ABAQUS. ..

    Article Title: Strengthening RC beams and columns with CFRP, GFRP and KFRP laminates
    Article Snippet: .. In this section, a detailed FE model was performed using ABAQUS FE analysis software to study the behavior of a simply supported RC beam. ..

    Article Title: Investigation of plasterboard fall-off in lightweight floor systems under fire conditions
    Article Snippet: .. Using the FE software Abaqus CAE, Hisham [14] developed a new method to assess the heat transfer behaviour of light gauge steel frame (LSF) floors exposed to standard fire on one side by accounting for the impacts of plasterboard fall-off. ..

    Article Title: A multiscale analysis of compressive stress-enhanced carbide precipitation in deep cryogenic treated martensitic steel for shovel teeth.
    Article Snippet: .. Finite Element Analysis (FEA) was conducted using Abaqus CAE software to simulate the thermal stress evolution during the cryogenic treatment cycles. ..

    Article Title: Bearing capacity and optimization of finned suction caissons in clay
    Article Snippet: While finned suction caissons demonstrate excellent bearing capacity under uniaxial and VHMT combined loads, their pull-out performance under mooring loads at various angles remains insufficiently validated.. Furthermore, it is unclear whether the detrimental effects of the tension gap can be mitigated considering the fin assembly.. This study uses the finite element method to evaluate the optimal padeye position, pullout loads, and failure mechanisms of three aspect-ratio finned suction caissons in clay under inclined loads applied at three representative pull-out angles.

    Analysis:

    Article Title: A multiscale analysis of compressive stress-enhanced carbide precipitation in deep cryogenic treated martensitic steel for shovel teeth.
    Article Snippet: .. Finite Element Analysis (FEA) was conducted using Abaqus CAE software to simulate the thermal stress evolution during the cryogenic treatment cycles. ..



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    ( A <t>)</t> <t>3D-FEA</t> stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.
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    ( A <t>)</t> <t>3D-FEA</t> stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.
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    Image Search Results


    ( A ) 3D-FEA stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.

    Journal: Science Advances

    Article Title: A robust adhesive microneedle for oral infections therapy via synergistic antibacterial and neutrophil-macrophage axis immunomodulation

    doi: 10.1126/sciadv.aee4401

    Figure Lengend Snippet: ( A ) 3D-FEA stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.

    Article Snippet: A 3D-FEA simulation was conducted in the ABAQUS software.

    Techniques: Shear, Adhesive, Fluorescence, Labeling